#   --------------------------------注释区--------------------------------
#   入口:http://51739451931.tg.tg1cloud.sbs/?user_id=297045
#  
#   需抓取数据: 
#   * 填写穿透出来的api接口
#   * 不想跑的号可以填wxid到 yuanshen_mtzapi_notrun 多个#分割 注意是原始id
#   * 开启了公众号号任务但是想部分号不真实关注的请填 wxid 到 yuanshen_mtzapi_gzhnotrun 多个#分割 注意是原始id
#
#   抓取请求头中的user-agent填入yuanshen_useragent 无论多少个号都只填一个即可!!!!
#
#   变量名:yuanshen_api
#   如需自动提现 请填写用户id#提现密码#最小提现金额(单位为元) 到环境变量:yuanshen_mtz
#   多号@分割
#
# 下面是自定义变量设置(注意是修改对应的环境变量而不是改文件内容):
# huaji_mtz_max_threads        默认1 最大线程数
# huaji_mtz_IsRun_ReadTask     默认开启 是否执行阅读任务 开启1 关闭0
# huaji_mtz_IsRun_SphTask      默认关闭 是否执行视频号任务 开启1 关闭0
# huaji_mtz_IsRun_GzhTask      默认关闭 是否执行公众号任务 开启1 关闭0
# huaji_mtz_IsReally_Gz        默认开启 是否真实关注公众号 开启1 关闭0
#   --------------------------------祈求区--------------------------------
#                     _ooOoo_
#                    o8888888o
#                    88" . "88
#                    (| -_- |)
#                     O\ = /O
#                 ____/`---'\____
#               .   ' \\| |// `.
#                / \\||| : |||// \
#              / _||||| -:- |||||- \
#                | | \\\ - /// | |
#              | \_| ''\---/'' | |
#               \ .-\__ `-` ___/-. /
#            ___`. .' /--.--\ `. . __
#         ."" '< `.___\_<|>_/___.' >'"".
#        | | : `- \`.;`\ _ /`;.`/ - ` : | |
#          \ \ `-. \_ __\ /__ _/ .-` / /
#  ======`-.____`-.___\_____/___.-`____.-'======
#                     `=---='
# 
#  .............................................
#           佛祖保佑             永无BUG
#           佛祖镇楼             BUG辟邪
#   --------------------------------代码区--------------------------------

'''
Create at [2025-03-18 16:23:24] By https://api.huaji.asia/encry
Powered By Huaji
'''
import requests
import os
import sys
import platform
import subprocess
import importlib
import datetime
from urllib.parse import urlparse
import logging
import socket
logging.basicConfig(level=logging.INFO, format='[%(levelname)s] ===> %(message)s')
log = logging.getLogger(__name__)

THIS_Proxies = 'https://github.moeyy.xyz/'   # 网络不行就填Github代理 这里只给出一个要是不行就自己找 https://github.moeyy.xyz/

data = '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'
func = 'main'

GithubUrl = f"{THIS_Proxies.rstrip('/')}/https://raw.githubusercontent.com/huaji8/So_common/master/so" if THIS_Proxies else 'https://raw.githubusercontent.com/huaji8/So_common/master/so'
THIS_MODE = 'Huaji_SoLoader'
So_name = f'{THIS_MODE}.so'




def get_system_info() -> None:
    global Download_name
    python_version = f"{sys.version_info.major}.{sys.version_info.minor}.{sys.version_info.micro}"
    download_pyver = f'{sys.version_info.major}.{sys.version_info.minor}'
    processor_arch = platform.machine().replace('AMD64', 'x86_64').replace('x64', 'x86_64')
    system_name = platform.system()
    system_ver = platform.release() + " " + platform.version()
    system_arch = platform.architecture()[0]
    if system_name == "Darwin":
        system_name = "macOS"
        system_ver = platform.mac_ver()[0]
    elif system_name == "Windows":
        system_ver = f"{platform.release()} (Build {platform.win32_ver()[1]})"
    
    log.info(f"系统信息 [Python/{python_version}] [系统架构 {processor_arch}] [{system_name}/{system_ver} {system_arch}]")
    if download_pyver not in ['3.10','3.11','3.12']:
        log.error(f'当前Python版本不支持运行此脚本，请使用Python3.10或3.11或3.12运行此脚本,什么??你不重装,简单,删除本脚本然后睡觉觉就行了..')
        
    if processor_arch == 'x86_64' and system_name == 'Linux':
        Download_name = f'{THIS_MODE}_{download_pyver}_x64.so'
    elif processor_arch == 'aarch64' and system_name == 'Linux':
        Download_name = f'{THIS_MODE}_{download_pyver}_aarch64.so'
    else:
        Download_name = f'{THIS_MODE}_{download_pyver}_x64.so'
        
    if processor_arch not in ['x86_64', 'aarch64']:
        log.warning(f'当前系统架构大概率不支持运行此脚本,请使用x86_64或aarch64架构运行此脚本')
    elif 'Linux' not in system_name:
        log.error(f'当前系统不支持运行此脚本，请使用Linux运行此脚本')
    else:
        log.info('系统检测通过,开始运行脚本')
        return
    
    
    
    exit()



def download_file(save_path: str = None) -> bool:
    url =  GithubUrl + '/' + Download_name
    
    try:
        try:
            socket.create_connection(("www.github.com", 80), timeout=5)
            socket.create_connection(("www.github.com", 443), timeout=5)
        except (socket.timeout, socket.gaierror):
            log.warning("无法连接到Github,大概率下载是失败的,请检查网络或使用代理")

        if not save_path:
            file_name = os.path.basename(urlparse(url).path) or "downloaded_file"
            save_path = os.path.join(os.getcwd(), file_name)
        if os.path.exists(save_path) and os.path.getsize(save_path) == 0:
            os.remove(save_path)
        save_dir = os.path.dirname(save_path)
        os.makedirs(save_dir, exist_ok=True)
        curl_cmd = "curl.exe" if platform.system() == "Windows" else "curl"
        cmd = [
            curl_cmd,
            "-L", 
            "-f",
            "--silent",
            "--show-error",
            "-o", save_path,
            "-m","180",
            url
        ]

        result = subprocess.run(
            cmd,
            check=True,
            stdout=subprocess.PIPE,
            stderr=subprocess.PIPE,
            text=True
        )


        if not os.path.exists(save_path):
            log.error(f"下载文件不存在: {save_path}")
            return False
        if os.path.getsize(save_path) == 0:
            os.remove(save_path)
            log.error(f"下载文件为空: {save_path}")
            return False
        if result.returncode != 0:
            log.error(f"下载失败: {result.stderr.strip()}")
            return False
        log.info(f"文件下载成功: {save_path}")
        os.rename(Download_name, So_name)
        return True

    except subprocess.CalledProcessError as e:
        error_msg = f"下载失败: {e.stderr.strip()}" if e.stderr else "未知curl错误"
        log.error(error_msg)
        return False
    except Exception as e:
        log.error(f"下载异常: {str(e)}")
        return False
    
def dynamic_import(module_name: str) -> object:
    return importlib.import_module(module_name)

    
def Run() -> None:
    if os.path.exists(So_name):
        log.info('so文件存在,开始运行')
        print('='*30)
        obj = dynamic_import(THIS_MODE)
        obj.run(func, data)
    else:
        log.info('so文件不存在,开始下载')
        if download_file():
            Run()
        else:
            log.error('下载失败,请检查网络或使用代理')


if __name__ == '__main__':
    get_system_info()
    Run()
